Advanced HDR imaging, high-resolution capture, and USB 3.2 Gen 1 UVC plug-and-play integration for demanding industrial and ...

While turning my focus to available robotic platforms and the development tools currently available to designers for my just-published hands-on project (see “Robots on the march“), I quickly noticed ...

Here’s our weekly snapshot of some of the embedded news that has come through our inbox, covering products, funding and events news. This week, as part of ROS World 2021, Nvidia announced general ...

Many people wonder if embedded systems and robotics are the same thing. While they work together, they have different jobs. Here is a guide to help understand the difference. An embedded system is a ...

Master of Science in Robotics Associate Director talks about the mandatory robotics course and how it influences an MSR student's experience. Embedded Systems in Robotics is a project-based course ...

I believe it is a concept that is under-employed by machinery builders, partly because it is a concept that is misunderstood as inserting an off the shelf robotic cell between two other machine cells.

Exploring compact, efficient and powerful nano-type servo drives with innovative thermal management technology and EtherCAT or CANopen support. To meet the needs of today’s advanced motion control ...

This project-based course provides experience with a variety of software tools and concepts useful for a robotics engineer working with practical embedded systems. The Robot Operating System (ROS) ...

Significant focus on ultra-low latency in autonomous systems is forcing a massive migration of neural networks directly onto microcontrollers at the edge. Embedded AI market accelerates as real-time ...

At embedded world 2026, Mick Elliott spoke to David Pashley, MD at Direct Insight about the growing demand for functionally ...

Development platform, real-time humanoid robot, and hands-on workshops round out QNX's critical enabling role in robotics systems As industries move beyond traditional robotics and automation to ...

We present a library to automatically embed signal processing and neural network predictions into the material robots are made of. Deep and shallow neural network models are first trained offline ...